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Termes IGN > sciences naturelles > physique > traitement d'image > photogrammétrie > photogrammétrie numérique > modèle numérique de surface
modèle numérique de surfaceSynonyme(s)modèle numérique d'élévation ;modèle numérique d'altitude ;MNE ;MNA ;DEM MNSVoir aussi |
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Homological persistence for shape based change detection between Digital Elevation Models / Bruno Vallet in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W2 (November 2013)
[article]
Titre : Homological persistence for shape based change detection between Digital Elevation Models Type de document : Article/Communication Auteurs : Bruno Vallet , Auteur Année de publication : 2013 Projets : 1-Pas de projet / Conférence : ISPRS 2013, ISA Workshop on Image Sequence Analysis 11/11/2013 11/11/2013 Antalya Turquie OA ISPRS Annals Article en page(s) : pp 49 - 54 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] détection de changement
[Termes IGN] modèle numérique de surface
[Termes IGN] seuillage d'imageRésumé : (auteur) Digital Elevation Models provide an accurate description of scenes allowing change detection by radiometric independence measurements. The height information gives access to the changes in the 3D shape of a scene occurring between two dates. In this paper, a procedure to extract meaningful changes is proposed based on analyzing this shape variation. Instead of filtering a difference map, a multilevel analysis of the difference map based on the theory of persistence is developed to make such analysis independent from a choice of threshold values. Numéro de notice : A2013-815 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-II-3-W2-49-2013 En ligne : http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W2/49/2013/ Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80874
in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol II-3 W2 (November 2013) . - pp 49 - 54[article]Documents numériques
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Homological persistenceAdobe Acrobat PDF Performance of dense digital surface models based on image matching in the estimation of plot-level forest variables / Kimmo Nurminen in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)
[article]
Titre : Performance of dense digital surface models based on image matching in the estimation of plot-level forest variables Type de document : Article/Communication Auteurs : Kimmo Nurminen, Auteur ; Mika Karjalainen, Auteur ; Xiaowei Yu, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 104 - 115 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse comparative
[Termes IGN] appariement d'images
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt
[Termes IGN] hauteur des arbres
[Termes IGN] image aérienne
[Termes IGN] modèle numérique de surface
[Termes IGN] semis de points
[Termes IGN] troncRésumé : (Auteur) Recent research results have shown that the performance of digital surface model extraction using novel high-quality photogrammetric images and image matching is a highly competitive alternative to laser scanning. In this article, we proceed to compare the performance of these two methods in the estimation of plot-level forest variables. Dense point clouds extracted from aerial frame images were used to estimate the plot-level forest variables needed in a forest inventory covering 89 plots. We analyzed images with 60% and 80% forward overlaps and used test plots with off-nadir angles of between 0° and 20°. When compared to reference ground measurements, the airborne laser scanning (ALS) data proved to be the most accurate: it yielded root mean square error (RMSE) values of 6.55% for mean height, 11.42% for mean diameter, and 20.72% for volume. When we applied a forward overlap of 80%, the corresponding results from aerial images were 6.77% for mean height, 12.00% for mean diameter, and 22.62% for volume. A forward overlap of 60% resulted in slightly deteriorated RMSE values of 7.55% for mean height, 12.20% for mean diameter, and 22.77% for volume. According to our results, the use of higher forward overlap produced only slightly better results in the estimation of these forest variables. Additionally, we found that the estimation accuracy was not significantly impacted by the increase in the off-nadir angle. Our results confirmed that digital aerial photographs were about as accurate as ALS in forest resources estimation as long as a terrain model was available. Numéro de notice : A2013-490 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.06.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.06.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32628
in ISPRS Journal of photogrammetry and remote sensing > vol 83 (September 2013) . - pp 104 - 115[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013091 RAB Revue Centre de documentation En réserve L003 Disponible A methodology to characterize vertical accuracies in lidar-derived products at landscape scales / Wade T. Tinkham in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 8 (August 2013)
[article]
Titre : A methodology to characterize vertical accuracies in lidar-derived products at landscape scales Type de document : Article/Communication Auteurs : Wade T. Tinkham, Auteur ; Chad .m Hoffman, Auteur ; Michael J. Falkowski, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 709 - 716 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] modèle numérique de surface
[Termes IGN] paysage
[Termes IGN] précision altimétriqueRésumé : (Auteur) Light detection and ranging (lidar) is the premier technology for high-resolution elevation measurements in complex landscapes. Lidar error assessments allow for objective interpretation of Digital Elevation Models (DEMs) and products reliant on these layers. The purpose of this study is to spatially estimate the vertical error of a lidar-derived DEM across seven cover types through modeling of field survey data. We use thirty-four variables and ground-based field survey data in a Random Forest regression to predict elevation error. Four variables captured the variability within the lidar errors, with three variables relevant to the distribution of returns within the vegetation and one relating to the terrain form. Good agreement was observed when comparing the survey against the model predictions (u = -0.02 m, s = 0.13 m, and RMSE = 0.14 m). With most lidar products reliant upon accurate production of DEMs, providing spatially explicit assessments of uncertainty at the landscape level will increase user confidence in lidar products. Numéro de notice : A2013-425 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.8.709 En ligne : https://doi.org/10.14358/PERS.79.8.709 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32563
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 8 (August 2013) . - pp 709 - 716[article]The influence of digital surface model choice on visibility-based mobile geospatial applications / Sam Meek in Transactions in GIS, vol 17 n° 4 (August 2013)
[article]
Titre : The influence of digital surface model choice on visibility-based mobile geospatial applications Type de document : Article/Communication Auteurs : Sam Meek, Auteur ; James Goulding, Auteur ; Gary Priestnall, Auteur Année de publication : 2013 Article en page(s) : pp 526 - 543 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] appareil portable
[Termes IGN] données de terrain
[Termes IGN] données lidar
[Termes IGN] modèle numérique de surface
[Termes IGN] point d'intérêt
[Termes IGN] qualité des données
[Termes IGN] service fondé sur la position
[Termes IGN] téléphone intelligent
[Termes IGN] téléphonie mobile
[Termes IGN] visibilitéRésumé : (Auteur) In this work, we investigate the effectiveness of different types of visibility models for use within location-based services. This article outlines the methodology and results for our experiments, which were designed to understand the accuracy and effects of model choices for mobile visibility querying. Harnessing a novel mobile media consumption and authoring application called Zapp, the levels of accuracy of various digital surface representations used by a line of sight visibility algorithm are extensively examined by statistically assessing randomly sampled viewing sites across the 1 km2 study area, in relation to points of interest (POI) across the University of Nottingham campus. Testing was carried out on three different surface models derived from 0.5 m LiDAR data by visiting physical sites on each surface model with 14 random point of interest masks being viewed from between 10 and 16 different locations, totalling 190 data points. Each site was ground-truthed by determining whether a given POI could be seen by the user and could also be identified by the mobile device. Our experiments in a semi-urban area show that choice of surface model has important implications for mobile applications that utilize visibility in geospatial query operations. Numéro de notice : A2013-470 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12021 Date de publication en ligne : 10/04/2013 En ligne : https://doi.org/10.1111/tgis.12021 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32608
in Transactions in GIS > vol 17 n° 4 (August 2013) . - pp 526 - 543[article]DEM error correction in InSAR time series / Heresh Fattahi in IEEE Transactions on geoscience and remote sensing, vol 51 n° 7 Tome 2 (July 2013)
[article]
Titre : DEM error correction in InSAR time series Type de document : Article/Communication Auteurs : Heresh Fattahi, Auteur ; Falk Amelung, Auteur Année de publication : 2013 Article en page(s) : pp 4249 - 4259 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] Equateur (état)
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] modèle numérique de surface
[Termes IGN] série temporelle
[Termes IGN] volcanRésumé : (Auteur) We present a mathematical formulation for the phase due to the errors in digital elevation models (DEMs) in synthetic aperture radar (SAR) interferometry (InSAR) time series obtained by the small baseline (SB) or the small baseline subset method. We show that the effect of the DEM error in the estimated displacement is proportional to the perpendicular baseline history of the set of SAR acquisitions. This effect at a given epoch is proportional to the perpendicular baseline between the SAR acquisition at that epoch and the reference acquisition. Therefore, the DEM error can significantly affect the time-series results even if SB interferograms are used. We propose a new method for DEM error correction of InSAR time series, which operates in the time domain after inversion of the network of interferograms for the displacement time series. This is in contrast to the method of Berardino (2002) in which the DEM error is estimated in the interferogram domain. We show the effectiveness of this method using simulated InSAR data. We apply the new method to Fernandina volcano in the Galapagos Islands and show that the proposed DEM error correction improves the estimated displacement significantly. Numéro de notice : A2013-378 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2227761 En ligne : https://doi.org/10.1109/TGRS.2012.2227761 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32516
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 7 Tome 2 (July 2013) . - pp 4249 - 4259[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013071B RAB Revue Centre de documentation En réserve L003 Disponible Forest canopy height estimation using ICESat/GLAS data and error factor analysis in Hokkaido, Japan / Masato Hayashi in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)PermalinkChallenges and lessons from a wetland LiDAR project: a case study of the Okefenokee Swamp, Georgia, USA / L. Shea Rose in Geocarto international, vol 28 n° 3-4 (June - July 2013)PermalinkInfluence of a dense, low-height shrub species on the accuracy of a lidar-derived DEM / Samuel B. Gould in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 5 (May 2013)PermalinkA novel technique for the automatic detection of surface clutter returns in radar sounder data / Adam Ferro in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 2 (May 2013)PermalinkRegion-based automatic building and forest change detection on Cartosat-1 stereo imagery / Jing Tian in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)PermalinkLow altitude aerial photography applications for digital surface models creation in archaeology / José-Angel Martinez-Del-Pozo in Transactions in GIS, vol 17 n° 2 (April 2013)PermalinkAn improved simple morphological filter for the terrain classification of airborne LIDAR data / Thomas J. Pingel in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)PermalinkExtracting polygonal building footprints from digital surface models: A fully-automatic global optimization framework / Mathieu Brédif in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)PermalinkImproving Cartosat-1 DEM accuracy using synthetic stereo pair and triplet / D. Giribabu in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)PermalinkGround filtering and vegetation mapping using multi-return terrestrial laser scanning / Francesco Pirotti in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)Permalink